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Organic Computing — A Paradigm Shift for Complex Systems pp 193–206Cite as

Multi-objective Intrinsic Evolution of Embedded Systems

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Part of the book series: Autonomic Systems ((ASYS,volume 1))

Abstract

The evolvable hardware paradigm facilitates the construction of autonomous systems that can adapt to environmental changes, degrading effects in the computational resources, and varying system requirements. In this article, we first introduce evolvable hardware, then specify the models and algorithms used for designing and optimising hardware functions, present our simulation toolbox, and finally show two application studies from the adaptive pattern matching and processor design domains.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Paderborn, Warburger Str. 100, 33098, Paderborn, Germany

    Paul Kaufmann & Marco Platzner

Authors
  1. Paul Kaufmann
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  2. Marco Platzner
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Corresponding author

Correspondence to Paul Kaufmann .

Editor information

Editors and Affiliations

  1. , Institute for Systems Engineering, Leibniz Universität Hannover, Appelstr. 4, Hannover, 30167, Germany

    Christian Müller-Schloer

  2. , Institute AIFB, Karlsruhe Institute of Technology, Kaiserstr. 89, Karlsruhe, 76133, Germany

    Hartmut Schmeck

  3. , Department of Computer Science, Universität Augsburg, Universitätsstr. 6a, Augsburg, 86159, Germany

    Theo Ungerer

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Kaufmann, P., Platzner, M. (2011). Multi-objective Intrinsic Evolution of Embedded Systems. In: Müller-Schloer, C., Schmeck, H., Ungerer, T. (eds) Organic Computing — A Paradigm Shift for Complex Systems. Autonomic Systems, vol 1. Springer, Basel. https://doi.org/10.1007/978-3-0348-0130-0_12

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  • DOI: https://doi.org/10.1007/978-3-0348-0130-0_12

  • Publisher Name: Springer, Basel

  • Print ISBN: 978-3-0348-0129-4

  • Online ISBN: 978-3-0348-0130-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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